Principal Architect (Applied Ai + Saas) - Office Of The Cto

Key Responsibilities:Own architecture across the full engineering organization: service decomposition, contracts, and clear boundaries across Data & Deployments, SaaS/Aika, and AI/Research.Architect the applied-AI layer, agent orchestration, retrieval-augmented generation, and tool-use safety.Establish LLM evaluation, observability, and cost-modelling practices that hold up in production.Set guardrails for multi-tenancy, data residency, and immutable audit that future infra and data hires build on.Write architecture decision records and standards that peers want to follow.Be the escalation point for cross-team design friction and infeasibility questions - when something moves along the pipeline and the design doesn’t hold up, this is the person who digs into it before it reaches the CTO.Represent Biorce technically in senior supplier and partner engagements, e.g., Google, Amazon, Databricks, Nvidia, and other model/infra vendors, alongside the CTO.About the roleFollowing our successful expansion into the U.S. and continued growth across Europe, we are seeking a Principal Architect to help drive our engineering organization from our Austin / Barcelona hub.Reporting directly to our CTO, this person will be the senior architecture voice across the full engineering organization - Data & Deployments, SaaS/Aika, and AI/Research - shaping how our multi-tenant SaaS platform and the applied-AI layer that sets it apart both scale safely in a regulated, audited environment.You will be our most senior architecture voice across the entire engineering function: the person who turns ambitious ideas into systems that are reliable, secure, and ready for a hard compliance gate - and the person the CTO brings into the room for the conversations that shape the platform’s technical direction with our most important partners.Who We’re Looking For:A senior distributed-systems and SaaS architect who has gone deep on applied AI over the last few years - someone who treats agents and LLM features as production services with contracts, evaluations, and failure modes, not as experiments.You are equally comfortable designing multi-tenant backend microservices and reasoning about retrieval pipelines, agent safety, and inference cost.You influence without needing to own everything, you still write code, and you design for auditability from day one.You’re also comfortable being the person the CTO brings into supplier and partner conversations, translating deep technical context for non-technical stakeholders on both sides.This person should be able to own the end-to-end architecture of our application and AI layers and raise the technical bar for the whole engineering organization - not one team within it.Partner with platform, research, and scientific stakeholders to ship fast without compromising compliance.#J-*****-Ljbffr

A senior distributed-systems and SaaS architect who has gone deep on applied AI over the last few years - someone who treats agents and LLM features as production services with contracts, evaluations, and failure modes, not as experiments. You are equally comfortable designing multi-tenant backend microservices and reasoning about retrieval pipelines, agent safety, and inference cost. You influence without needing to own everything, you still write code, and you design for auditability from day one. You’re also comfortable being the person the CTO brings into supplier and partner conversations, translating deep technical context for non-technical stakeholders on both sides. This person should be able to own the end-to-end architecture of our application and AI layers and raise the technical bar for the whole engineering organization - not one team within it. Partner with platform, research, and scientific stakeholders to ship fast without compromising compliance. #J-*****-Ljbffr